3d ultrasound devices

A team at the University of Illinois has been given a $2m grant to develop devices that can add 3D medical imaging capability to traditionally 2D ultrasound systems.

The FASTER project, led by the Beckman Institute for Advanced Science and Technology, has been proposed as a way to make advanced three-dimensional imaging technologies more widely accessible without the need for dedicated and expensive CAT scanners or MRI machines.

Ultrasound, by contrast, is available in many diagnostic rooms along with X-rays, and thus is often one of the earliest forms of diagnostic imaging people will have taken when they see a doctor about a medical issue.

The concept behind ultrasound is similar to the system used by bats to perceive space and objects without sight. Bats emit a high-pitched ultrasonic sound wave that bounces off of objects and how that sound returns allows them to perceive and avoid obstacles in a process known as echolocation.

Ultrasound works similarly, typically using a probe or handheld devices to send a beam of ultrasonic waves around a part of the body, typically based on a known location such as a tumour or a foetus.

From this, the machine can determine the shape, size and location of the target in question and present that information. The only issue is that information is presented in two dimensions, which can make complex tissues, organs and tumours difficult to diagnose, often requiring several scans.

The proposed solution to this by the Beckman Institute is to use a clip-on device that attaches to the probe and instantly enables 3D ultrasound imaging in real-time.

A 3D ultrasound can capture the surrounding area, as well as the whole object, much in the same way a CAT scan does, and this can help doctors at a glance know exactly what kind of issue they are dealing with, in a way that is more cost-effective and thus more widely available.

Its first adaptation will be at the Mayo Clinic in Minnesota, with the hope that it can be more widely utilised based on its effectiveness.

Cloud Computing help

Disaster recovery is something every business or organisation needs to prepare for, whether it is a physical calamity on its premises like fire or flood, or a major data problem such as a power outage or cyber attack.

The capacity for cloud disaster recovery services to help is something many will have factored in when adopting the system. Buy storing and saving data in a particularly safe way it will ensure that medical imaging services are not disrupted and information from scans can still be sent to whichever practitioners need to see them.

Some may think an internet outage is an event that is unlikely to happen to them, especially with so many wireless services being available. But that is not always the case, especially in more remote corners of the UK.

Few places fit that description more than the Shetlands, which has just endured a loss of internet services as well as telecoms after two undersea cables connecting the islands to the mainland were damaged. These have now been fixed.

The incident followed another cable, linking the Shetlands with the Faroe Islands, also being damaged and affecting communications.

During this time, attempts to communicate with the mainland were futile, but any data stored in the cloud will have been safe, ensuring that once the cables were fixed it could be transmitted where necessary.

Because health services on the archipelago of 23,000 people are limited in scope, patients from the islands who need a scan – around 600 people a year – currently have to travel by ferry to Aberdeen to get one, so no scanning data would have been held up by the cable problems.

However, this situation is about to change. As Shetland News reports, NHS Shetland is moving its estates team to a site once occupied by the fish market in Lerwick to make space for the town’s Gilbert Bain Hospital to have a long-awaited MRI scanner fitted.

A lack of medical scans could have contributed to the exceptionally high level of excess mortality revealed in new official figures.

In 2022 over 650,000 deaths occurred, nine per cent more than the last pre-pandemic year of 2019. While there were more excess deaths in 2020 and 2021, Covid is the obvious explanation for those years. It was insufficient on its own, however, to explain the 2022 figures. 

However, the pandemic may have had an indirect impact by reducing the number of medical appointments, screenings and diagnoses in these years, preventing many people from getting the urgent, life-saving treatment they needed. 

While screenings may not have been cancelled, many patients will have been hesitant about coming forward for scans when infections were high and the NHS under severe strain.

The value of medical image sharing is that it enables the results of screenings to be easily accessed across different locations, which can have the benefit of enabling clinicians to provide the appropriate treatment for patients in a timely manner, often saving lives in the process. This is especially true for conditions like cancer.

An inability to access such images would be as bad as not having them in the first place, which can be the result of not having a scan to begin with – and it is apparent that the consequences of just such a scenario have played out with dire consequences for many patients over the past couple of years. 

Of course, there are other factors that may have contributed to what was one of the highest excess death rates in the last half century. The wider strains on the NHS may be a factor, not least at the end of the year when the worst flu season in a decade struck, itself a likely indirect consequence of reduced immunity after Covid restrictions prevented flu spreading much over previous winters.

The hot summer also contributed with the highest excess deaths during heatwaves among over-65s since comparable records began in 2004. However, this accounted for only 2,803 of the overall total, making it a minor factor.

heart ultrasound

In 2022, the biggest leap forward for medical imaging services was the adoption of artificial intelligence and machine learning to help doctors diagnose diseases in tissue samples and diagnostic scans,

This is why, for example, a system designed to detect different types of pastries is also used to scan for cancer.

However, a team from Rutgers University led by Partho Sengupta MD FACC and Naveena Yanamala PhD discovered a breakthrough in AI-assisted ultrasonic imaging that would enable an AI to detect changes in the function and structure of the heart at a molecular level.

This could be used at a very early stage to detect for signs of heart disease, potentially saving countless lives.

The system works by analysing patterns in echocardiogram imagery to determine at an expert level the types of conditions that lead to heart failure, establishing new biological markers that can help doctors plan appropriate cardiac treatment.

The biomarker can be applied to any current ultrasound device, which includes miniature hand-held ones that can fit in a pocket, and creates what the doctors call an “ultrasonic biopsy”.

There have been several similar stories of ultrasound being used in conjunction with AI to help detect heart disease, with one particularly fascinating study detecting weak heart pumps from data recorded by an Apple Watch, a consumer-grade smart device with limited health and fitness tracking.

With diseases like heart failure, lung disease, dementia and cancer, time is a critical factor in determining potential recovery. The longer the disease goes undiagnosed, the more of an effect it can have on people’s lives and the lower the chance of a full recovery.

Time is the difference between excising a benign tumour and being unable to operate due to cancerous tissue spreading to a vital organ.

This is a similar case with heart disease, as the sooner it is discovered, the more options are available to doctors.

 

man using 3d machine

Scientists have worked out how they can use artificial intelligence (AI) to help children in developing countries who have been born with cleft palates. 

Swiss researchers are using a 3D printer to create pre-surgical palate plates for babies in poorer countries, based on smartphone images of their cleft lips and palates, Swiss Info revealed. 

Computer software automatically generates a digital model of the palate, which can then be printed out quickly and easily. 

Andreas Muller, head of the Cleft Lip and Palate Treatment Centre at the University Hospital of Basel, designed the digital process together with scientists at the Department of Computer Science at the federal technology institute ETH Zurich. 

The procedure is currently being tested in India and Poland, and it is hoped it will make treatment more accessible for children in low-income states. 

Muller said: “As health workers, we feel frustrated faces with the fact that such ‘luxuries’ are unavailable to many families in those countries with scarce healthcare resources, training and a low number of healthcare workers.”

In higher-income nations, a team consisting of a paediatric dentist, a surgeon and anaesthesiologist create a plaster mould of the baby’s palate after they are born. An individualised plastic plate is then handcrafted by a dental technician before a qualified orthodontist implants this into the baby’s mouth and adjusts it regularly over a course of a six to eight months. 

After this, the cleft will have narrowed enough to only require a single surgery to close it. 

This surgery costs up to $3,500 (£2,880) in India, which is unaffordable for millions of people living there. 

If a cleft palate is not repaired, it can cause a number of health issues, including being unable to feed, hearing problems, a higher risk of tooth decay, and unclear speech. 

 

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man working in lab

The constantly-adapting nature of Covid-19 made it difficult for medical staff to provide an accurate prognosis for hospitalised patients. However, scientists have now developed an artificial intelligence (AI) device that can offer a framework for continuous monitoring. 

Feinstein Institutes for Medical Research (FIMR) published their study in Nature Communications, having looked at more than 35,000 Covid-19 patients over the last two and a half years. 

Dr Theo Zanos, associate professor at the FIMR and Institute of Bioelectronic Medicine, led the research, which had to include the different changes in variants, waves and outcomes of the virus. 

He said: “Covid-19 was one of the most dynamic diseases we’ve witnessed in modern history and information about how to care for patients was constantly evolving.”

Scientists had to collect enough data to create a tool that accounted for the rapid developments. The auto-updating clinical device has been designed to assist clinicians in making decisions for patient care. 

While previous models have failed by not being able to consider fluctuations in patients’ characteristics and outcomes, the new model updates automatically when it detects a change in performance. 

President and chief executive officer of the FIMR Kevin J Tracey added the study was able to analyse data, and use modern technology to develop the tool and provide insights into the virus. 

It works by focusing on five early patient data points – age, serum urea nitrogen, lactate, serum albumin and red cell distribution width. By doing this, it was able to remain accurate across four waves and different variants. 

“Dr Zanos’ strategy provides a new model to study Covid-19 as a guide to clinical decision-making and better outcomes,” Mr Tracey added. 

For more information about cloud PACS system in healthcare, call us today.

digital imaging

Northern Ireland’s health and social care services are set for a major boost with news that a new imaging software system is to be deployed there. 

The system, developed by Sectra, is called NIPACS+ and will enable health trusts in Ulster to access patient scans and images from all over the region, irrespective of location, Digital Health Net reports

By bringing all medical imaging storage in the NHS in Northern Ireland under one single system, it means that for the first time every hospital from Belfast to Ballymena, from Limavady to Lurgan can all see crucial patient data at any time, no matter where the patient lives or has previously been treated or scanned. 

Other benefits will be the enabling of flexible working as staff who are based at home will still be able to see images, while new diagnostic hubs and training facilities will be established with the support of the system.

Chief executive at Belfast Health and Social Care Trust Dr Cathy Jack said: “This programme signals a major step forward in medical diagnostics for Northern Ireland.”

She added: “Moving to one imaging system will mean that from a single point of access healthcare professionals can instantly see all the imaging they need to support patient care.”

Managing director for Sectra in the UK and Ireland Jane Rendall said: “Northern Ireland is an example for the world in integrated diagnostics,” describing the project as an “extremely exciting one for Sectra to support”.

The development in Northern Ireland is a further sign of the growth in the use of medical imaging around the world, an expansion made easier by the accessibility to it provided by cloud storage systems and software.

According to new research from Pharmiweb.com, the global medical imaging market is set for compound annual growth of approximately 5.9 per cent between now and 2031.

 

brain biomedical image

The use of microendoscopes to diagnose internal problems is not new, but the technology has been constantly advancing – and may be about to take another leap forward.

Using fibre optics, the devices have been able to produce biomedical images from all manner of locations inside the human body that would not have been possible decades ago, making possible diagnostics that previously would have been impossible without invasive exploratory surgery. 

This can be extremely useful and, combined with cloud medical image storage, can leverage the best modern technology to ensure image-based diagnostics can provide the right information to medical professionals, wherever and whenever they need it.

However, the International Centre for Translational Eye Research (ICTER) notes, the technology has its limitations in terms of how clear the images are that can be produced. 

For this reason, staff at ICTER have been working on developing better microendoscopes, with a new paper jointly published by ICTER’s professor Karol Karnowski and colleagues at universities in Denmark and Australia outlining how imaging can be improved by using endoscopic imaging probes that combine fibre optics with spherical lenses.

This combination helps produce a wider range of high quality images that can be applicable across a wider range of applications than existing fibre optic technology. The researchers concluded that the performance level of endoscopic imaging probes is on a similar level to the single focusing element probes commonly used at present.

It is not only in the field of microendoscopy that imaging technology is advancing. The South Australian Health and Medical Research Institute in Adelaide has unveiled new scanner technology that can look inside coronary arteries and enhance the study of cancer cells, 7 News reports.

The full-body photon-counting computed tomography machine is the first one of its kind in Australia, and has been hailed as the biggest advance in CT imaging technology in 20 years by the institute’s head of imaging Andrew Dwyer.

 

 

New MRI scans that use 4D images have been developed to be able to diagnose heart failure in just eight minutes. 

Researchers from the University of East Anglia (UEA) have created technology that uses magnetic response imaging (MRI) to take 4D images of heart valves and blood flow. This has helped reduce diagnostic times from 20 minutes to just eight.

PhD student Hosamadin Assadi, from UEA’s Norwich Medical School, said: “This new technology is revolutionising how patients with heart disease are diagnosed.”

He explained the university teamed up with General Electric Healthcare to determine how reliable a new technique called Kat-ARC is as a diagnostic tool. It was found the scans not only reduce the amount of time it takes to get accurate pictures of the heart, but also measure the peak velocity of blood flow in the heart. 

Lead researcher Dr Pankaj Garg, also from Norwich Medical School, stated the best way to diagnose heart failure is through an invasive assessment, or by ultrasound scan, which can be unreliable. 

The 4D imaging, however, can look at the flow of blood in three directions over time, providing detailed information about the condition of the organ. 

Dr Garg stated if the 4D MRIs become commonplace, “this will benefit hospitals and patients across the whole world”.   

Causes of heart failure include high blood pressure, cardiomyopathy, a heart attack, congenital heart conditions, heart valve disease, and abnormal heart rhythms. 

According to the NHS, heart failure impacts 900,000 people in the UK, with 60,000 new cases emerging every year. 

 

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A major research pathway in the world of medical imaging is in the field of artificial intelligence and machine learning, which are used to help doctors identify cell samples that potentially show signs of cancer.

There is a range of systems available, each rapidly evolving as AI permeates into many facets of life and evolves to meet the needs of various industries.

However, the earliest and most incredible example of this is how a system designed to scan for freshly baked bread and pastries became a major tool in some hospitals to help doctors efficiently scan for cancer in cell samples.

For context, Japanese bakeries do not sell packaged bread products, because bread in the open looks fresher and more appealing.

With these bakeries expanding their product ranges dramatically, it was getting increasingly difficult for customer service staff to efficiently serve customers as they needed to memorise a lot of different pastry types.

In 2007, a lot of scanning systems relied on barcodes or used somewhat rudimentary AI recognition technology that typically could only recognise standardised shapes and designs, which given that baking is not always consistent, led to confusion.

Enter BakeryScan, an advanced AI scanning system that could be trained to accurately detect different types of bread, work out when a pastry had ripped or was two separate items, could detect different bread items touching and was heralded for its accuracy by the baking world.

However, a decade later, a doctor based at the Louis Pasteur Centre for Medical Research in Kyoto had a brilliant idea. As cancer cells could in some cases look similar to these pastry products, a custom baking scanner could be used to efficiently look for cancer cells.

This led to the development of Cyto-AiSCAN, which uses the same technology to analyse an entire slide of cells with an accuracy level of 99 per cent, allowing for quicker cancer diagnoses and potentially saving countless lives in the process.